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Remote Research Methodology Jobs in California (NOW HIRING)

Remote Job Overview We are seeking experienced Mathematics Experts to support an AI-focused project ... Apply research methodologies to develop and verify mathematical concepts. * Contribute high-quality ...

Remote Job Overview We are seeking experienced Mathematics Experts to support an AI-focused project ... Apply research methodologies to develop and verify mathematical concepts. * Contribute high-quality ...

Remote Job Overview We are seeking experienced Mathematics Experts to support an AI-focused project ... Apply research methodologies to develop and verify mathematical concepts. * Contribute high-quality ...

Remote Job Overview We are seeking experienced Mathematics Experts to support an AI-focused project ... Apply research methodologies to develop and verify mathematical concepts. * Contribute high-quality ...

Research Engineer

San Francisco, CA · On-site +1

$140K - $250K/yr

Location: Remote (United States) Work Model: Remote Industry: AI training data infrastructure ... Continuously improve verification methods as the data landscape and AI tooling evolve Requirements

Remote Commitment: ~10 hours/week Role Responsibilities * Solve research-level physics challenges ... Audit submitted solutions for correctness, scope, and method soundness; deliver actionable feedback ...

Marketing Researcher

San Francisco, CA · On-site +1

$55 - $60/hr

Onsite or hybrid preferred; fully remote may be considered for candidates based in San Francisco ... research methods. The contractor will be responsible for programming and launching surveys ...

Remote Role Responsibilities * Evaluate the accuracy and depth of AI-generated content to ... Review complex machine learning research for alignment with domain principles and methodologies.

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Remote Research Methodology information

What is remote research methodology?

Remote research methodology refers to the set of techniques and processes used to conduct research with participants who are not physically present in the same location as the researcher. This approach utilizes online tools, video conferencing, surveys, and digital collaboration platforms to collect data. Remote research methods are especially useful for reaching geographically dispersed participants, increasing flexibility, and reducing costs. However, they also require careful planning to ensure data security, participant engagement, and validity of results.

What are the key skills and qualifications needed to thrive as a remote research methodologist?

To thrive as a Remote Research Methodologist, you need a strong background in research design, statistical analysis, and data interpretation, typically supported by an advanced degree in a relevant field such as social sciences, psychology, or statistics. Familiarity with data analysis software (e.g., SPSS, R, or Python), survey platforms, and remote collaboration tools is essential. Excellent written communication, critical thinking, and self-motivation are vital soft skills for effectively conducting and presenting research in a remote setting. These skills ensure high-quality, reliable research outcomes and successful collaboration across distributed teams.

How does a remote research methodology specialist typically collaborate with cross-functional teams?

Remote research methodology specialists often work closely with project managers, data analysts, and subject matter experts through virtual meetings and collaboration tools. They are responsible for designing research frameworks, ensuring methodological rigor, and communicating findings to diverse stakeholders. Effective digital communication and documentation are key, as team members may be spread across different locations and time zones. Regular check-ins and leveraging platforms like Slack, Zoom, or shared documents help maintain alignment and support project goals.

What is the difference between Remote Research Methodology vs Remote Data Analyst?

AspectRemote Research MethodologyRemote Data Analyst
Required CredentialsResearch methods certifications, degrees in social sciences or researchStatistics, data analysis, or related degrees, certifications in data tools
Work EnvironmentDesigning research studies, developing methodologies remotelyAnalyzing datasets, creating reports from remote locations
Employer & Industry UsageAcademic, market research, social research firmsBusiness, marketing, finance sectors
Search & Comparison IntentUnderstanding research design roles, methodologiesData analysis techniques, reporting roles

Remote Research Methodology focuses on designing and implementing research strategies remotely, often requiring expertise in research design and methodologies. Remote Data Analysts primarily analyze datasets and generate insights from data. While both roles involve data and research skills, the former emphasizes research design, and the latter emphasizes data analysis and reporting.

What are the most commonly searched types of Research Methodology jobs in California?

The most popular types of Research Methodology jobs in California are:

What cities in California are hiring for Remote Research Methodology jobs?

Cities in California with the most Remote Research Methodology job openings:

Infographic showing various Remote Research Methodology job openings in California as of August 2026, with employment types broken down into 83% Full Time, 6% Temporary, and 11% Contract. Highlights an 100% Remote job distribution.

Graduate Research Associate, Clinical Outcomes

South San Francisco, CA • On-site, Remote


Hearst
Motion Picture and Video Production • 10K+ employees

6.8

Company rating: 6.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

50th of 78 rated media

People enjoy working here

Paid breaks

Respectful managers


$50/hr

Part-time

Posted 3 days ago

New


Job description

Overview (Why This Role?)
Hearst Health is seeking a part-time Graduate Research Associate, Clinical Outcomes to help quantify and communicate the clinical impact of our software, data, and decision-support solutions.
This role is designed for a student pursuing an advanced degree in public health, health services research, epidemiology, biostatistics, health informatics, or a related field who wants to apply rigorous research methods to real-world healthcare questions.
The core question behind the role is straightforward but important: Do patients and healthcare organizations achieve better clinical outcomes when they use Hearst Health solutions?
Working with Hearst Health leadership and the Chief Medical Officers and clinical leaders across our businesses, the Graduate Research Associate will help turn that question into testable hypotheses, design appropriate analyses, evaluate real-world data, and develop credible evidence about the relationship between use of our solutions and clinical outcomes.
This is not primarily an academic research role. The objective is to produce rigorous, defensible evidence that can inform product strategy and, where supported by the findings, strengthen how Hearst Health communicates the value of its solutions to customers and the market.
The position is expected to require approximately 10-20 hours per week, with flexibility to accommodate an academic schedule.
Compensation: $50 an hour
This position is eligible for Remote Work.
About Hearst Health
The mission of Hearst Health is to guide healthcare organizations by delivering essential intelligence and software that improve the quality, safety and efficiency of care. Hearst Health has been innovating with care for more than 40 years, with a commitment to making a lasting positive impact on health. The Hearst Health companies - FDB, Homecare Homebase, MCG, MHK, QGenda and Zynx Health - elevate care by informing and empowering participants across the health journey. To learn more, follow @Hearst-Health on LinkedIn.
 
Qualifications (What We're Looking For)
Must-Have Qualifications
  • Currently pursuing an advanced degree-such as an MPH, MS, DrPH, PhD, or comparable graduate degree-in public health, epidemiology, biostatistics, health services research, health informatics, outcomes research, or a related quantitative field.
  • Strong grounding in research methodology, epidemiology, biostatistics, or causal inference.
  • Experience designing and conducting quantitative analyses using healthcare, clinical, claims, EHR, or other complex real-world datasets.
  • Proficiency with at least one statistical or analytical programming environment.
  • Ability to move from an open-ended clinical question to a structured research plan and analytical approach.
  • Strong written and verbal communication skills, including the ability to explain technical findings to non-technical audiences.
  • Intellectual curiosity and comfort working across clinical, analytical, product, and commercial perspectives.
Preferred Qualifications
  • Experience with observational or quasi-experimental methods used in real-world evidence generation, such as propensity score methods, matched cohort designs, difference-in-differences, interrupted time series, or related approaches.
  • Familiarity with healthcare quality measures, clinical outcomes, utilization measures, or healthcare economics.
  • Experience working with claims, EHR, clinical workflow, or other healthcare datasets.
  • Prior research experience resulting in a publication, poster, conference presentation, thesis, or similar research output.
  • Interest in healthcare technology and in understanding how software, information, and clinical decision-support tools affect care delivery and patient outcomes.
Key Responsibilities
Clinical Outcomes Research & Study Design
  • Partner with Chief Medical Officers, clinical leaders, product teams, and other stakeholders across Hearst Health businesses to identify high-value questions about the clinical impact of our solutions.
  • Translate business and clinical questions into testable hypotheses, measurable outcomes, and well-defined research designs.
  • Develop appropriate observational, quasi-experimental, or other analytical approaches to assess whether and how clinical outcomes change following adoption or use of Hearst Health solutions.
  • Identify relevant endpoints, comparison populations, time periods, covariates, and potential confounding factors.
  • Assess the strengths and limitations of available data and recommend pragmatic study designs that balance methodological rigor with real-world constraints.
Data Analysis & Evidence Development
  • Analyze clinical, operational, utilization, or other relevant healthcare data to evaluate outcomes associated with Hearst Health solutions.
  • Apply appropriate statistical and epidemiological methods to distinguish meaningful effects from correlation, selection effects, and other sources of bias.
  • Conduct sensitivity analyses and other validation work to assess the robustness of findings.
  • Document methodology, assumptions, limitations, and results so analyses can withstand scrutiny from clinical, analytical, and customer audiences.
  • Where an analysis does not demonstrate a meaningful clinical benefit, clearly characterize the result and help identify what should be tested or investigated next.
Insight Translation & Communication
  • Translate complex analytical findings into clear conclusions for clinical and business audiences.
  • Develop charts, exhibits, research summaries, and other materials that explain study methodology and findings accurately and accessibly.
  • Partner with marketing, sales, product, and clinical teams to determine how validated findings can appropriately support customer conversations, case studies, thought leadership, and other external communications.
  • Help ensure that claims about clinical impact remain consistent with the underlying evidence and appropriately reflect study limitations.
Research Portfolio Development
  • Help establish a repeatable framework for measuring clinical impact across Hearst Health businesses and products.
  • Identify opportunities to extend initial analyses into deeper research, customer-specific studies, conference submissions, white papers, or peer-reviewed research where appropriate.
  • Monitor relevant academic literature and emerging methodologies for evaluating digital health, clinical decision support, healthcare software, and data products.
What Success Looks Like
  • Rigorous evidence: Research questions are translated into credible study designs and analyses that can withstand clinical and methodological scrutiny.
  • Decision-useful findings: Analyses produce clear answers-including negative or inconclusive results-that help Hearst Health understand where its solutions have measurable impact.
  • Clinical credibility: Chief Medical Officers and other clinical leaders view the Associate as a capable research partner who understands both methodological rigor and real-world healthcare.
  • Commercial relevance: Validated findings can be translated into clear, evidence-based insights that strengthen customer and market conversations without overstating what the research demonstrates.
  • Repeatability: The work contributes to a scalable approach for measuring clinical impact across multiple Hearst Health businesses and solutions.


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